research units
Research Unit

Simulations and Molecular Modeling Research Unit (SMM)

3Unit Members
9Research Interests

Unit Members

Prof. Dr. Heider Abdulrazzaq Abdulhussein

president

A/Prof. Dr. Karrar Abd Ali Saeed

Member

A/Prof.Dr. Nadia Ezzat Al-Kirbassee

Member

About the Unit

Simulations and Molecular Modeling (SMM) Research Unit

The Simulations and Molecular Modeling (SMM) Research Unit is a multidisciplinary research platform dedicated to the computational discovery, prediction, and rational design of advanced materials, molecular systems, and bioactive compounds at the atomic and molecular scale. By integrating quantum chemistry, Density Functional Theory (DFT), molecular dynamics, atomistic simulations, electronic-structure calculations, computational chemistry, molecular docking, bioinformatics, and computational structural biology, the Unit transforms molecular-level understanding into predictive knowledge and innovative solutions. Its research addresses strategically important areas including advanced energy and hydrogen-storage materials, nanomaterials and two-dimensional materials, batteries and fuel cells, catalysts, sensors and biosensors, charge-transfer and memory materials, magnetic materials and single-molecule magnets, computational drug design, and biomolecular systems.

The SMM Research Unit is driven by a predictive and design-oriented research philosophy, moving beyond conventional computational characterization toward the discovery and optimization of materials and molecules with targeted properties, performance, and real-world applications. Through an integrated “Compute–Predict–Design–Validate” framework, the Unit seeks to accelerate scientific discovery, guide experimental development, reduce reliance on trial-and-error approaches, and enable sustainable technological innovation. Its international research profile is demonstrated through established collaborative research and co-authored scientific publications with researchers from leading institutions, including the University of Oxford and the University of New England (Australia), as well as scientists and research groups across Germany, Hungary, Italy, the United Kingdom, and Spain. Operating at the interface of computational chemistry, materials science, nanotechnology, energy, pharmaceutical sciences, molecular biology, and bioinformatics, the Unit contributes to the United Nations Sustainable Development Goals (SDGs), particularly SDG 3, SDG 7, SDG 9, SDG 12, SDG 13, and SDG 17, and aims to transform molecular-level insight into next-generation materials, clean-energy technologies, sensing platforms, and biomedical solutions that address global scientific and societal challenges.

Research Interests

Computer-Aided Drug Discovery (CADD)BioinformaticsMedical Radio-ChemistryNanotechnology2D Materials for Gas Sensing TechnologyHydrogen Storage TechnologyWater Splitting CatalysisSingle Molecular MagnetsGenetic Algorithms for Chemistry

Unit Activity

https://uowa.edu.iq/english/scientific/unit/smm

Publications 2026

  1. The QTAIM and ELF approaches to chemical bonding in chalcogen-bridging tetra-manganese carbonyl clusters. [E2Mn4(CO)12]2- (E = S Se Te). Computational and Theoretical Chemistry 1255 115528. https://doi.org/10.1016/j.comptc.2025.115528
  2. Metal-metal interactions in trinuclear ruthenium-osmium clusters with bridging ligands. A QTAIM analysis. Structural Chemistry 37(2) 785-796. https://doi.org/10.1007/s11224-025-02581-9
  3. Computational exploration of Al-based complex hydrides QBaAlH6 (Q = Na K Rb Cs) for efficient hydrogen storage applications. Materials Chemistry and Physics 349 131782. https://doi.org/10.1016/j.matchemphys.2025.131782
  4. Comprehensive first-principles analysis on rare earth complex hydrides LiABH6 (A = Sc Y. B = Fe Ru Os). A promising class of hydrogen storage materials. Journal of Rare Earths 44 2166-2176. https://doi.org/10.1016/j.jre.2025.09.004
  5. Synergistic Light-Metal Activation in Aza-Triphenylene Covalent Organic Frameworks for Reversible Hydrogen Uptake
    Surfaces and Interfaces 98, 110641 (2026).
  6. Selective CO₂ hydrogenation to formic acid on Cu₅₅ and Cu₁₃@Ni₄₂ nanoclusters: a DFT and artificial bee colony optimization study
    Nanoscale Advances 8(11), 3425–3440 (2026).
  7. Light transition-metal anchoring enables ultrahigh-capacity hydrogen storage in boron-graphdiyne monolayer
    International Journal of Hydrogen Energy 235, 155196 (2026).
  8. A Comprehensive Analysis of the Structural, Electronic, Mechanical, Optical, and Thermophysical Properties of GaSrX₃ (X = F, Cl, Br, I, and H): DFT Investigation for Energy Applications
    Journal of Electronic Materials 55, 3690–3706 (2026).
  9. Atomic-scale engineering of MoSe₂ via germanium doping for advanced detection of toxic alkaloids and alcohols
    Materials Today Chemistry 53, 103539 (2026).
  10. Redox-controlled magnetic exchange coupling in indigo-bridged dinuclear Ni(II) and Co(II) complexes: a broken-symmetry DFT study
    Computational and Theoretical Chemistry 1264, 115965 (2026).
  11. Metal–metal interactions in trinuclear ruthenium-osmium clusters with bridging ligands: a QTAIM analysis. Structural Chemistry 37(2), 785–796 (2026)
  12. Computational exploration of Al-based complex hydrides QBaAlH6 (Q = Na, K, Rb, Cs) for efficient hydrogen storage applications. Materials Chemistry and Physics 349, 131782 (2026)
  13. Comprehensive first-principles analysis on rare earth complex hydrides LiABH6 (A = Sc, Y; B = Fe, Ru, Os): A promising class of hydrogen storage materials. Journal of Rare Earths 44(7), 2166–2176 (2026)
  14. Integrated Computational and Biological Evaluation of Bistriazole-Imidazolium Salts as Selective Anticancer Agents. Journal of Molecular Structure, 147678 (2026)
  15. Structure Prediction and Bonding Analysis of Chromium–Phosphorus Binary [CrₙPₘ]⁺ Clusters: A DFT, QTAIM, and ELF Study. SSRN preprint (24 Apr 2026)
  16. Structural and Topological Insights into Chromium-Phosphorus Binary [CrₙPₘ]⁺ Clusters: A DFT and QTAIM Study. SSRN preprint (31 Mar 2026)

International Collaboration Publications 2026

  1. Computational exploration of Al-based complex hydrides QBaAlH6 (Q = Na K Rb Cs) for efficient hydrogen storage applications. Materials Chemistry and Physics 349 131782. https://doi.org/10.1016/j.matchemphys.2025.131782
  2. Comprehensive first-principles analysis on rare earth complex hydrides LiABH6 (A = Sc Y. B = Fe Ru Os). A promising class of hydrogen storage materials. Journal of Rare Earths 44 2166-2176. https://doi.org/10.1016/j.jre.2025.09.004

Publications 2025

  1. Gold(I) and gold(III) complexes of triazolyl-functionalised NHCs RSC Advances, 15(23), 18123–18141 (2025) DOI: 1039/D5RA02655E
  2. Synthetic and structural investigation of new Au(I) complexes featuring bidentate imidazole-2-thione ligands Dalton Transactions, 54(17), 6822–6839 (2025) DOI: 1039/D5DT00483G
  3. The role of the radical tetrazine bridging ligand in spin-only magnetic coupling in complex dimers New Journal of Chemistry, 49(5), 1972–1981 (2025) DOI: 1039/D4NJ04695A
  4. A systematic computational study on Na-based complex hydrides NaMXH₆ (M = Sr, Ba; X = Co, Rh, Ir): A promising class of hydrogen storage materials Chinese Journal of Physics, 97, 1240–1254 (2025) DOI: 1016/j.cjph.2025.08.033
  5. Metal–metal interactions in trinuclear ruthenium-osmium clusters with bridging ligands: a QTAIM analysis Structural Chemistry, 37(2), 785–796 (2026) DOI: 1007/s11224-025-02581-9
  6. Light Transition Metal Functionalized ψ-Graphene as Promising Hydrogen Storage Architecture Advanced Energy and Sustainability Research, 6, 2500154 (2025) DOI: 1002/aesr.202500154
  7. Computational assessment of novel KBaMH₆ (M = Co, Rh, Ir) complex hydrides for hydrogen storage applications: A DFT and AIMD insight International Journal of Hydrogen Energy, 192, 152224 (2025) DOI: 1016/j.ijhydene.2025.152224
  8. Computational exploration of Al-based complex hydrides QBaAlH₆ (Q = Na, K, Rb, Cs) for efficient hydrogen storage applications Materials Chemistry and Physics, 349, 131782 (2025) DOI: 1016/j.matchemphys.2025.131782
  9. First-principles insights into NaScQH₆ (Q = Fe, Ru, Os): Promising high-density hydrogen storage materials International Journal of Hydrogen Energy, 177, 151392 (2025) DOI: 1016/j.ijhydene.2025.151392
  10. Comprehensive first-principles analysis on rare earth complex hydrides LiABH₆ (A = Sc, Y; B = Fe, Ru, Os): A promising class of hydrogen storage materials Journal of Rare Earths, 44, 2166–2176 (2025) DOI: 1016/j.jre.2025.09.004
  11. Review: Beyond the surface—exploring the complexities of 2D materials with density functional theory Journal of Materials Science, 60(31), 13191–13235 (2025) DOI: 1007/s10853-025-11190-0
  12. Gallium doped AlP monolayers: A promising architecture for gas sensing Computational and Theoretical Chemistry, 1250, 115301 (2025) DOI: 1016/j.comptc.2025.115301
  13. Reversible hydrogen storage of light transition metal-functionalized C₉N₄ monolayers under ambient conditions FlatChem, 52, 100902 (2025) DOI: 1016/j.flatc.2025.100902
  14. Anti-breast cancer potential of new indole derivatives: Synthesis, in-silico study, and cytotoxicity evaluation on MCF-7 cells Journal of Molecular Structure, 1326, 141176 (2025) DOI: 1016/j.molstruc.2024.141176
  15. A comprehensive analysis of the structural, phonon, electronic, mechanical, optical, and thermophysical properties of cubic Ca₃SbX₃ (X = Cl, Br): DFT-GGA and mBJ studies Materials Science in Semiconductor Processing, 187, 109133 (2025) DOI: 1016/j.mssp.2024.109133
  16. Computational insights into the physico-chemical properties of pure and single-atom copper–indium sub-nanometre clusters: A DFT-genetic algorithm approach RSC Advances, 15, 5856–5875 (2025) DOI: 1039/D4RA07404A
  17. Study on pressure-induced band gap modulation and physical properties of direct band gap Ca₃NX₃ (X = Cl, Br) for optoelectronic and thermoelectric applications Surfaces and Interfaces, 56, 105559 (2025) DOI: 1016/j.surfin.2024.105559
  18. A comprehensive analysis of structural, electronic, optical, mechanical, thermodynamic, and thermoelectric properties of direct band gap Sr₃BF₃ (B = As, Sb) photovoltaic compounds: DFT-GGA and mBJ approach Inorganic Chemistry Communications, 171, 113607 (2025) DOI: 1016/j.inoche.2024.113607

International Collaboration Publications 2025

  1. Gold(I) and gold(III) complexes of triazolyl-functionalised NHCs. RSC Advances 15(23) 18123-18141. https://doi.org/10.1039/d5ra02655e
  2. Synthetic and structural investigation of new Au(I) complexes featuring bidentate imidazole-2-thione ligands. Dalton Transactions 54(17) 6822-6839. https://doi.org/10.1039/d5dt00483g
  3. A systematic computational study on Na-based complex hydrides NaMXH6 (M = Sr Ba. X = Co Rh Ir). A promising class of hydrogen storage materials. Chinese Journal of Physics 97 1240-1254. https://doi.org/10.1016/j.cjph.2025.08.033
  4. Light Transition Metal Functionalized ψ-Graphene as Promising Hydrogen Storage Architecture. Advanced Energy and Sustainability Research 6 2500154. https://doi.org/10.1002/aesr.202500154
  5. Computational assessment of novel KBaMH6 (M = Co Rh Ir) complex hydrides for hydrogen storage applications. A DFT and AIMD insight. International Journal of Hydrogen Energy 192 152224. https://doi.org/10.1016/j.ijhydene.2025.152224
  6. First-principles insights into NaScQH6 (Q = Fe Ru Os). Promising high-density hydrogen storage materials. International Journal of Hydrogen Energy 177 151392. https://doi.org/10.1016/j.ijhydene.2025.151392
  7. Gallium doped AlP monolayers. A promising architecture for gas sensing. Computational and Theoretical Chemistry 1250 115301. https://doi.org/10.1016/j.comptc.2025.115301
  8. Reversible hydrogen storage of light transition metal-functionalized C9N4 monolayers under ambient conditions. FlatChem 52 100902. https://doi.org/10.1016/j.flatc.2025.100902
  9. A comprehensive analysis of the structural phonon electronic mechanical optical and thermophysical properties of cubic Ca3SbX3 (X = Cl Br). DFT-GGA and mBJ studies. Materials Science in Semiconductor Processing 187 109133. https://doi.org/10.1016/j.mssp.2024.109133
  10. Computational insights into the physico-chemical properties of pure and single-atom copper-indium sub-nanometre clusters. A DFT-genetic algorithm approach. RSC Advances 15 5856-5875. https://doi.org/10.1039/D4RA07404A
  11. Study on pressure-induced band gap modulation and physical properties of direct band gap Ca3NX3 (X = Cl Br) for optoelectronic and thermoelectric applications. Surfaces and Interfaces 56 105559. https://doi.org/10.1016/j.surfin.2024.105559
  12. A comprehensive analysis of structural electronic optical mechanical thermodynamic and thermoelectric properties of direct band gap Sr3BF3 (B = As Sb) photovoltaic compounds. DFT-GGA and mBJ approach. Inorganic Chemistry Communications 171 113607. https://doi.org/10.1016/j.inoche.2024.113607

Building Capacity Through Collaboration

The Simulation and Molecular Modelling (SMM) Unit at the University of Warith Al-Anbiyaa has played a central role in nurturing a new wave of scientific talent in Iraq. Through a series of hands-on training workshops held over the past two years, the unit has introduced students, young researchers, and academics to modern tools in computational chemistry and simulation-based science. These workshops filled a long-standing gap in scientific training, particularly in areas where access to traditional laboratory resources is limited.

Alongside these efforts, SMM has secured meaningful partnerships with universities and research groups abroad. Letters of collaboration have been exchanged to support staff development, knowledge sharing, and joint research projects. These partnerships are helping to place Iraq's researchers on the global scientific map, creating long-term pathways for innovation and cooperation.

Photos highlight the enthusiasm and engagement of workshop participants, reflecting a growing appetite for digital science in the region. Together, these training activities and international collaborations demonstrate a serious and practical commitment to scientific development — one that's already beginning to make a lasting impact.

SMM researchers develop and apply computer programs to answer key questions in several scientific sections:

1-      Computer-Aided Drug Discovery (CADD)

CADD is a powerful tool in modern drug discovery which employs computer algorithms to find the correct composition of a drug, develop the drug, and analyze its performance on a biological target. CADD techniques have been extremely successful in accelerating the pace of designing of new efficient drugs and medications which has helped in treating various kinds of diseases and ailments ranging from AIDS to glaucoma.

We are collaborating with Professor Reynisson Research Group (Keele University, UK) to work on exploring the nature of known drug space (KDS) and its application as a navigational tool in chemical space.

2-      Bioinformatics:

In this section, we undertake the task of mapping networks of protein interactions, aiming to decipher intricate biochemical pathways and identify crucial points for potential intervention. This approach enables us to gain a quantitative and visual understanding of the nature of substrate-enzyme interactions. We place significant emphasis on conducting comparative analyses, which aim to elucidate both common themes and differences in the structure-function relationships among protein families. This analysis facilitates a deeper comprehension of complex biological phenomena, rooted in fundamental biological and chemical principles.

To achieve these objectives, we perform detailed investigations of peptide interactions in their isomeric forms, employing QM/MM calculations to examine different structural snapshots. This analysis enables us to identify key contacts and residues that may hold significant importance and should be included in the subsequent QM/MM calculations. Our research efforts are part of a collaborative project with the Professor Zoltán Gáspári’s Group from Pázmány Péter Catholic University, Hungary. The primary focus of this collaboration lies in systematically and comprehensively exploring the interdependence of intramolecular motions, catalysis, and regulation in enzymes. Through these endeavors, we aim to contribute to the advancement of knowledge in the field of protein structure-function relationships and pave the way for a better understanding of biological processes at the molecular level.

3-      Medical Radio-Chemistry.

We are working in collaboration with experiments Prof. Constantin Mamatt in Germany and Prof. Sandra Luber at the University of Zurich, Switzerland on designing a macro-ligands that can help to collect the radio-active elements from the patients. The radio active element such as Barium and Radium element could be collected from the patients body by calixcrowns that have multi-dentate coordination sites, the ultimate aim to design the safest, cheaper, and most effective medicine to recover the traces of element from the body tissues.

4-      Nanotechnology:

We use cutting-edge computational approaches to investigate the environmental and sustainability applications for several selected nanoclusters (Au, Pd, Cu, Ru, Pt, Ir, and Sc) and their nanoalloys (mixtures of two metals). The adsorption of the nanoclusters on different functional surfaces is considered as well as their reactivity towards certain small molecules (e.g. CO, CO2, SO2, and H2).

This research is being carried out in collaboration with four world-class experimental and theoretical research groups: Lievens group (K. U. Leuven in Belgium), Fielicke group (T. U. Berlin in Germany), Gaston group (U. Auckland in New Zealand), and Johnston group (U. Birmingham in UK).

5-      2D Materials for Gas Sensing Technology

The monitoring of toxic gases has emerged as a prominent concern due to the escalation of severe environmental issues that pose significant threats to global public health security. Consequently, the development of highly sensitive gas detectors has become imperative in the pursuit of controlling air quality. The effectiveness of gas sensors fundamentally relies on their sensing material, the core component responsible for gas detection. Critical attributes of sensing materials include selectivity, response, and stability. An ideal gas sensor should possess qualities such as affordability, the ability to detect low concentrations of target gases, high response sensitivity, long-term stability, and operation at ambient room temperature. Hence, the scientific community faces a substantial challenge in developing efficient and effective gas-sensing devices for monitoring hazardous and toxic gases.

In our research, we primarily utilize theoretical calculations to investigate the interactions between gas molecules and 2D sensing materials. This approach enables us to devise novel ideas for enhancing the gas-sensing performance of such materials. Through fruitful collaborations with esteemed experts in the field, namely Prof. Abbas H. Abo Nasria from the Department of Physics at the University of Kufa and Dr. Nicola Seriani from the Abdus Salam International Centre for Theoretical Physics (ICTP) in Italy, we aim to improve the gas sensing properties of 2D nanomaterials. Our investigations focus on techniques such as defect functionalization, heterojunctions, external electric field modulation, and light irradiation to elevate the gas-sensing capabilities of these materials.

6-      Hydrogen Storage Technology

To address the challenges posed by the intermittence of renewable energies, the depletion of fossil fuels, and climate-related issues, the adoption of hydrogen as an energy vector appears to be a promising solution. Hydrogen offers an excellent means of storing energy on a large scale for extended durations, making it suitable for diverse applications such as mobility, heat generation, and industrial processes, all while having a negligible impact on the carbon footprint. It can be utilized in both mobile and stationary applications through fuel cells or direct combustion. However, effective utilization of hydrogen hinges on its storage, which presently remains a critical issue.

Developing a viable medium for hydrogen storage at moderate temperature and pressure is of utmost importance. Among potential solutions, solid-state storage in nanoporous two-dimensional and three-dimensional materials, such as graphene, aerogels, and MXenes structures, holds promise for achieving satisfactory gravimetric and volumetric densities. Nevertheless, in-depth fundamental research is indispensable to fully comprehend the potential of this technology and to facilitate its practical implementation.

In our ongoing research, we are employing advanced computational techniques, including Density Functional Theory (DFT) and Molecular Dynamic (MD) Simulation methods, to rationally design functional nanomaterials that exhibit efficient energy storage capabilities. This investigation aims to contribute significantly to the advancement of hydrogen storage technology, paving the way for sustainable and eco-friendly energy solutions in the future.

 We are working in collaboration with Professor Tanveer Hussain (U. Western Australia) on exploring the mechanical response and reactivity of a 2D-material for hydrogen storage application.

7-      Water Splitting Catalysis.

We use computational chemistry methodologies to understand the water splitting catalysis. We mimic the nature PSII complexes to design artificial water splitting catalysis that are known for oxygen-evolving catalysis OEC.

8-       Single Molecular Magnets:

The aim of such studies is to design the smallest magnets in the world, these magnets consist of single molecules that will revolutionize the future memory and spintronics industry. We are working in collaboration with Professor John McGrady at the University of Oxford, UK and Professor Yannis Sanakis at the Democritos Research Institute on designing single molecular clusters that have a unique magnetic properties.

9-      Genetic Algorithms for Chemistry

Over the past two decades, there have been significant developments of sophisticated search algorithms, in particular, genetic algorithms (GAs). GAs have been used to predict the structures (and hence the physical and chemical properties) of mixed-metal “nanoalloy” clusters, with an emphasis on subnanometer clusters, via the coupling of the GA with electronic structure calculations, particularly density functional theory. In collaboration with a number of theoreticians, we also employ different computational approaches and high-performance computing architectures to develop our GAs codes.